Third Party Software
jode
Joined: 08/21/2015
How can I compare coefficients within a TSSEM?
Hi metaSEM users, hi Mike,
I enjoy using the metaSEM package for my analysis in R. I amjust wondering how I can compare path cofficients in an estimated model (t-test) ? Probably it is quite easy, but I am new to R. So help is really appreciated :)
Thanks
Johannes
forscher
Joined: 03/05/2013
Very small standard errors from indirectEffect()
Hi metaSEM users, hi Mike,
I've been attempting to use indirectEffect() to estimate the direct and indirect effects from a series of 3 by 3 correlation matrices. I then want to meta-analyze the resulting direct and indirect effects using either meta() from the metaSEM package or mvmeta() from the mvmeta package in R.
cla18@humboldt.edu
Joined: 06/23/2015
Deriving Standard Errors from indirectEffect command
I am trying to derive a standard error for standardized indirect effects but am unclear how to find their standard errors using the output below. Is there a way to calculate the SE from the information below?
x <- matrix(c(1, -0.07, -0.23, -0.07, 1, 0.35, -0.23, 0.35, 1), ncol=3)
dimnames(x) <- list( c("y", "m", "x"), c("y", "m", "x") )
indirectEffect(x, n=81, standardized = TRUE )
HAMED
Joined: 06/15/2012
Determining R2 based on TSSEM Outputs in metaSEM
Greetings,
I have run a random-effects TSSEM (tssem2()) in metaSEM and received the estimated path loadings and correlations among factors in the output for my structural model. I also need to find the R2 values for my endogenous variables in my structural model. I was wondering how I can determine R2 values. I think they should be calculated as 1-var of the endogenous variables found in impliedS1 matrix in mx.fit component of the tssem2() output:
random2<-tssem2(...)
random2$mx.fit$impliedS1
HAMED
Joined: 06/15/2012
Univariate random-effects model
Greetings,
I have tested a correlation, for which I have a small number of studies (two studies), using univariate random-effects model in metaSEM. The results (see attached) show a significant Q statistic, non-significant Tau2_1_1, and I2 of 99%. I was wondering if such results should be interpreted as a significant heterogeneity among my studies or not. In particular, how should I interpret the results when Q is significant, but Tau is not?
I appreciate any help,
Best,
/Hamed
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cboterman
Joined: 04/14/2015
Wojtek
Joined: 04/04/2015
metaSEM installation problem
Hello,
I'm having problems when trying to install the metaSEM package. I'm a Mac user and I have the R 3.1.3 (Mavericks build) version. After having installed all packages required for metaSEM (OpenMx, MASS and ellipse), when trying to install the package directly, here's what I get :
install.packages("metaSEM")
Warning message:
package 'metaSEM' is not available (as a binary package for R version 3.1.3)
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jsakaluk
Joined: 03/28/2015
PET-PEESE and metaSEM
I'm currently conducting a meta-analysis for which I have many dependent effect sizes (multiple correlations I want to use, nested within the same sample), so the metaSEM package seemed like an obvious choice for how to analyze these data. However, I also want to take advantage of Stanley & Doucouliagos's (2014) PET-PEESE method of estimating a meta-analytic effect free of publication bias.
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forscher
Joined: 03/05/2013
Errors when including covariates in metaSEM
I have been attempting to add covariates to a network meta-analytic model that I'm fitting in metaSEM. As a brief bit of background, the network meta-analytic model is designed to model comparisons between a reference group and a set of other groups. Each comparison between the reference and other groups is modeled as a separate outcome.
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forscher
Joined: 03/05/2013
Not positive definite error when all within-studies covariance matrices are positive definite
Hi Mike (and the rest of the forum),
Thanks so much for maintaining your metaSEM package!
I have been trying to fit a variation of a network meta-analysis model using your package. In particular, I need to impose specific constraints on the estimated between-studies covariance matrix. However, my question is not about the constraints that I'm imposing, but rather about a not positive definite error that I haven't been able to figure out.